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๐ ๏ธ๐งญ How to Build Closed-Loop Evals for Multimodal AI Agents at Scale. ๐ ๐ ๐ณ-๐ฆ๐๐ฒ๐ฝ ๐ฟ๐ผ๐ฎ๐ฑ๐บ๐ฎ๐ฝ ๐๐ผ ๐ฏ๐๐ถ๐น๐ฑ ๐บ๐๐น๐๐ถ๐บ๐ผ๐ฑ๐ฎ๐น ๐ฒ๐๐ฎ๐น๐ ๐๐ต๐ฎ๐ ๐ณ๐ถ๐ด๐ต๐ ๐๐ ๐๐น๐ผ๐ฝ. The hardestโฆ | Maryam Miradi, PhD
Maryam Miradi presents a seven-step architecture for building closed-loop evaluations of multimodal AI agents at scale, specifically addressing the core challenge that AI can improve image quality while altering truth. The framework emphasizes faithful reproduction of content (matching ingredients, portions, and identity) through human ground truth anchors, multimodal routing, cross-modal verification, QA gates with retry logic, production drift monitoring, and iterative tuning before deployment.